impacts. Smart Manufacturing optimizes the use of energy as a direct ingredient, instead of treating it as overhead, and contributes to a circular product lifecycle by facilitating information for reuse, remanufacturing, and recycling scenarios.
3. Secure Smart Manufacturing provides
broad, secure connectivity among devices, processes, people, and businesses in the ecosystem, securing data integrity, protecting intellectual property, shielding against cyberattacks, and maintaining business continuity with minimal impact to performance of the overall network of networks. Security starts with identity verification schemes for every “thing” in the ecosystem, implementing schemes for access control, data traffic monitoring, fault- tolerance, high availability, anomaly detection, issue containment, and seamless data recovery.
4. Scalable Smart Manufacturing scales
across all functions, facilities and the entire value chain with cost and performance growing linearly— instead of exponentially—as load and complexities increase. Systems, components and resources are added, modified, replaced, or removed with ease to accommodate changing demands. Smart Manufacturing is democratized for adoption by the entire value chain, including smaller manufacturing suppliers.
5. Resilient & Orchestrated Smart
Manufacturing adapts
to schedule and product changes with minimal intervention, easy reconfiguration, and optimized process and material flows. Smart Manufacturing is quick to react to changes in demand, resilient to disruption and capable of maintaining business continuity through adaptability, modularity, and minimal redundancy. An Smart Manufacturing ecosystem leverages collaborative decision-making and orchestration to get the right product to the right place at the right time.
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6. Flat & Real-time In Smart Manufacturing, resources
and processes are digitally integrated, monitored, and continuously evaluated based on all available contextual information to support near real-time, informed decision making. Near real- time means: (i) event driven versus waiting on periodic updates, and (ii) as close to real-time as possible where needed. The information flow across the enterprise and value chain is flattened, enabling more autonomy and faster decentralized decisions with enhanced visualization of information, metrics and analytics.
7. Proactive & Semi-autonomous Smart Manufacturing moves beyond
static dashboards and reporting practices to proactive and semi-autonomous processes that act on near real-time information. Automated, predictive analyses trigger automated decisions on routine situations and alert employees to act on non-routine situations with prescriptive recommendations. Predictive and prescriptive software techniques leverage digital versions of the physical products, equipment, and processes, including simulations and mathematical models. With a focus on leveraging Industry 4.0 technologies, enabling
interoperability with the CESMII standards for Industrial Plug and Play, and the reliance on the Smart Manufacturing First Principles, industry as a while will see amazing new levels of innovation and productivity. That is the promise.
About CESMII
CESMII is the United States’ national institute on Smart Manufacturing, driving cultural and technological transformation and secure industrial technologies as national imperatives. By enabling frictionless movement of information – raw and contextualized data – between real-time Operations and the people and systems that create value in and across Manufacturing organizations, CESMII is ensuring the power of information and innovation is at the fingertips of everyone who touches manufacturing. Contact Dale.Turner@
CESMII.org for membership information.
About the Author Roy Kok joined CESMII as the Marketing Director in August 2020. Roy has over 30 years’ experience in industrial automation ranging across both hardware and software. His areas of expertise include data acquisition, PLCs, HMI/SCADA, Historians and analytic solutions across all vertical industries.
May 2021 ❘ 19
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